Satish Rao and Babak Ayazifar

Lecture: TuTh 9:30am - 10:59am, Pimentel 1

**Jump to current week**

Week | Date | Lecture | Resources | Notes | Discussion | Homework |
---|---|---|---|---|---|---|

0 |
Tue 8/23 |
No lecture | ||||

Thu 8/25 |
Introduction, Propositional Logic lecture |
full 1pp 6pp | Note 0 Note 1 | |||

1 |
Tue 8/30 |
Proofs, Induction lecture |
full 1pp 6pp | Note 2 Note 3 | ||

Thu 9/1 |
Induction lecture |
full 1pp 6pp | Note 3 | |||

2 |
Tue 9/6 |
Stable Matching lecture |
full 1pp 6pp | Note 4 | ||

Thu 9/8 |
Graphs lecture |
full 1pp 6pp | Note 5 | |||

3 |
Tue 9/13 |
Graphs lecture |
full 1pp 6pp | Note 5 | ||

Thu 9/15 |
Modular Arithmetic lecture |
full 1pp 6pp | Note 6 | |||

4 |
Tue 9/20 |
Euclid, FLT, CRT lecture |
full 1pp 6pp | Note 6 Note 7 | ||

Thu 9/22 |
RSA lecture |
full 1pp 6pp hw/no-hw stats 6pp | Note 7 | |||

5 |
Tue 9/27 |
Polynomials, Secret Sharing lecture |
full 1pp 6pp | Note 8 | ||

Thu 9/29 |
Error Correcting Codes lecture |
full 1pp 6pp | Note 9 | |||

6 |
Tue 10/4 |
No lecture; Midterm 10/5 8-10PM | ||||

Thu 10/6 |
Counting lecture |
full 1pp 6pp | Note 10 | |||

7 |
Tue 10/11 |
Counting and Countability lecture |
full 1pp 6pp | Note 10 Note 11 | ||

Thu 10/13 |
Countability and Computability lecture |
full 1pp 6pp | Note 11 Note 12 | |||

8 |
Tue 10/18 |
Introduction to Discrete Probability lecture |
Note 13 | |||

Thu 10/20 |
Conditional Probability, Independence, and Combinations of Events lecture |
Note 14 | ||||

9 |
Tue 10/25 |
Bayesâ€™ Rule lecture |
Note 14 | |||

Thu 10/27 |
Random Variables lecture |
Note 15 Note 19 | ||||

10 |
Tue 11/1 |
Distributions, Expectations and Independence lecture |
Note 15 | |||

Thu 11/3 |
Variance lecture |
Note 16 | ||||

11 |
Tue 11/8 |
Variance and Poisson Distribution lecture |
Note 16 Note 19 | |||

Thu 11/10 |
Joint and Conditional PMFs, Total Expectation lecture |
Note 15 Note 20 | ||||

12 |
Tue 11/15 |
Concentration Inequalities lecture |
Note 17 | |||

Thu 11/17 |
Continuous Probability lecture |
Note 21 | ||||

13 |
Tue 11/22 |
Gaussian Distribution and CLT lecture |
Note 21 | |||

Thu 11/24 |
Thanksgiving | |||||

14 |
Tue 11/29 |
Regression and Least Squares |
Note 20 | |||

Thu 12/1 |
Markov Chains |
Note 22 | ||||

15 |
Tue 12/6 |
RRR Week | ||||

Thu 12/8 |
RRR Week | |||||

16 |
Tue 12/13 |
Final Exam (3:00 - 6:00 pm) |